Select Publications
Books
, 2019, Preface, http://dx.doi.org/10.1016/B978-0-12-815862-3.00006-8
, 2019, Handbook of Approximate Bayesian Computation Preface, Sisson SA; Fan Y; Beaumont MA, (eds.), CRC PRESS-TAYLOR & FRANCIS GROUP
Book Chapters
, 2026, 'Reversible Jump Markov Chain Monte Carlo and Multi-Model Samplers', in Handbook of Markov Chain Monte Carlo, pp. 170 - 202, http://dx.doi.org/10.1201/9781003453420-7
, 2020, 'Chapter 1 Bayesian quantile regression with the asymmetric Laplace distribution', in Flexible Bayesian Regression Modelling, Elsevier, pp. 1 - 25, http://dx.doi.org/10.1016/b978-0-12-815862-3.00007-x
, 2020, 'Preface', in Flexible Bayesian Regression Modelling, Elsevier, pp. xiii - xiv, http://dx.doi.org/10.1016/b978-0-12-815862-3.00006-8
, 2019, 'Bayesian quantile regression with the asymmetric Laplace distribution', in Flexible bayesian regression modelling, Academic Press, pp. 1 - 25, http://dx.doi.org/10.1016/B978-0-12-815862-3.00007-X
, 2018, 'High-Dimensional ABC', in Sisson SA; Fan Y; Beaumont MA (ed.), Handbook of Approximate Bayesian Computation, Taylor & Francis, pp. 211 - 241, http://dx.doi.org/10.1201/9781315117195-8
, 2018, 'Overview of ABC', in Sisson SA; Fan Y; Beaumont MA (ed.), Handbook of Approximate Bayesian Computation, Taylor & Francis, pp. 3 - 54, http://dx.doi.org/10.1201/9781315117195-1
, 2018, 'ABC Samplers', in Sisson S; Fan Y; Beaumont M (ed.), Handbook of Approximate Bayesian Computation, Chapman & Hall, pp. 87 - 123, http://dx.doi.org/10.1201/9781315117195-4
, 2018, 'High-dimensional approximate Bayesian computation', in Sisson S; Fan Y; Beaumont M (ed.), Handbook of Approximate Bayesian Computation, Chapman & Hall, pp. 211 - 242
, 2018, 'Overview of Approximate Bayesian Computation', in Sisson S; Fan Y; Beaumont M (ed.), Handbook of Approximate Bayesian Computation, Chapman & Hall, pp. 3 - 54, https://www.amazon.com/Handbook-Approximate-Computation-Handbooks-Statistical/dp/1439881502
, 2018, 'ABC in nuclear imaging', in Fan Y; Sisson SA; Beaumont M (ed.), Handbook of approximate bayesian computation, CRC Press, https://www.crcpress.com/Handbook-of-Approximate-Bayesian-Computation/Sisson-Fan-Beaumont/p/book/9781439881507
, 2011, 'Likelihood-free MCMC', in Brooks S; Gelman A; Jones GL; Meng X-L (ed.), Handbook of Markov Chain Monte Carlo, Taylor and Francis Group, USA, pp. 313 - 333
, 2011, 'Reversible Jump MCMC', in Brooks S; Gelman A; Jones GL; Meng X-L (ed.), Handbook of Markov Chain Monte Carlo, Taylor and Francis Group, USA, pp. 67 - 87
Edited Books
Fan Y; Nott D; Dortet-Bernadet J-L; Smith M, (eds.), 2019, Flexible Bayesian Regression Modelling, Academic Press
Sisson S; Fan Y; Beaumont M, (eds.), 2018, Handbook of Approximate Bayesian Computation, Chapman and Hall/CRC Press, https://www.crcpress.com/Handbook-of-Approximate-Bayesian-Computation/Sisson-Fan-Beaumont/p/book/9781439881507
Journal articles
, 2026, 'Generative Consistency Models for Estimation of Kinetic Parametric Image Posteriors in Total-Body PET', IEEE Transactions on Medical Imaging, 45, pp. 4137 - 4149, http://dx.doi.org/10.1109/TMI.2026.3692917
, 2026, 'Predictive Modelling of Solvent Effects on Drug Incorporation into Polymeric Nanocarriers: A Machine Learning Approach', Macromolecular Rapid Communications, 47, http://dx.doi.org/10.1002/marc.202500251
, 2026, 'Fused L1/2 prior for large scale linear inverse problem with Gibbs bouncy particle sampler', Inverse Problems, 42, http://dx.doi.org/10.1088/1361-6420/ae55c2
, 2026, 'Identifying Polymers that Bind or Reject Proteins with Machine Learning: Handling Categorical Features within a GPR Model', ACS Polymers Au, 6, pp. 587 - 598, http://dx.doi.org/10.1021/acspolymersau.5c00177
, 2026, 'Uncertainty guided inverse design of polymers', Digital Discovery, http://dx.doi.org/10.1039/d5dd00505a
, 2025, 'Diversity on the bench: An analysis of gendered biases in the language of Australian Family Law Court judgments', Plos One, 20, http://dx.doi.org/10.1371/journal.pone.0331841
, 2025, 'Relationships between numerical score and free text comments in student evaluations of teaching: A sentiment topic analysis reveals the influence of gender and culture', Plos One, 20, http://dx.doi.org/10.1371/journal.pone.0324619
, 2025, 'Machine Learning in Polymer Research', Advanced Materials, 37, http://dx.doi.org/10.1002/adma.202413695
, 2025, 'Bayesian L1/2 Regression', Journal of Computational and Graphical Statistics, 34, pp. 199 - 210, http://dx.doi.org/10.1080/10618600.2024.2374579
, 2024, 'ABCMB: deep delensing assisted likelihood-free inference from CMB polarization maps', Machine Learning Science and Technology, 5, http://dx.doi.org/10.1088/2632-2153/ad9af9
, 2024, 'Bias intervention messaging in student evaluations of teaching: The role of gendered perceptions of bias', Heliyon, 10, http://dx.doi.org/10.1016/j.heliyon.2024.e37140
, 2024, 'A topic model analysis of students' gendered expectations using surveyed critiques of lecturers', Frontiers in Education, 9, http://dx.doi.org/10.3389/feduc.2024.1296771
, 2023, 'A synthetic likelihood approach for intractable markov random fields', Computational Statistics, 38, pp. 749 - 777, http://dx.doi.org/10.1007/s00180-022-01256-x
, 2022, 'Cell graph neural networks enable the precise prediction of patient survival in gastric cancer', Npj Precision Oncology, 6, http://dx.doi.org/10.1038/s41698-022-00285-5
, 2022, 'APPROXIMATE EQUIVARIANCE SO(3) NEEDLET CONVOLUTION', Proceedings of Topological, Algebraic, and Geometric Learning Workshops (ICML 2022), 196, pp. 189 - 198
, 2022, 'Gender Bias in Student Evaluations of Teaching: ‘Punish[ing] Those Who Fail To Do Their Gender Right’', Higher Education, 83, pp. 787 - 807, http://dx.doi.org/10.1007/s10734-021-00704-9
, 2022, 'Probabilistic Projections of El Niño Southern Oscillation Properties Accounting for Model Dependence and Skill', Scientific Reports, http://dx.doi.org/10.1038/s41598-022-26513-3
, 2021, 'A novel approach for discovering stochastic models behind data applied to El Niño–Southern Oscillation', Scientific Reports, 11, http://dx.doi.org/10.1038/s41598-021-81162-2
, 2021, 'A flexible data-driven cyclostationary model for the probability density of El Niño-Southern Oscillation', Chaos, 31, http://dx.doi.org/10.1063/5.0060104
, 2021, 'A Markov chain method for weighting climate model ensembles', Geoscientific Model Development, 14, pp. 3539 - 3551, http://dx.doi.org/10.5194/gmd-14-3539-2021
, 2021, 'PET-ABC: Fully Bayesian likelihood-free inference for kinetic models', Physics in Medicine and Biology, 66, pp. 115002, http://dx.doi.org/10.1088/1361-6560/abfa37
, 2020, 'CosmoVAE: Variational Autoencoder for CMB Image Inpainting', IEEE Proceedings of the International Joint Conference on Neural Networks (IJCNN)
, 2020, 'Haar Graph Pooling', Proceedings of international conference on machine learning (ICML), 119, pp. 9952 - 9962, http://proceedings.mlr.press/v119/wang20m.html
, 2019, 'A novel method to test non-exclusive hypotheses applied to Arctic ice projections from dependent models', Nature Communications, 10, pp. 3016, http://dx.doi.org/10.1038/s41467-019-10561-x
, 2019, 'Simultaneous fitting of Bayesian penalised quantile splines', Computational Statistics and Data Analysis, 134, pp. 93 - 109, http://dx.doi.org/10.1016/j.csda.2018.12.009
, 2019, 'Pyramid Quantile Regression', Journal of Computational and Graphical Statistics, pp. 1 - 25, http://dx.doi.org/10.1080/10618600.2019.1575225
, 2019, 'Accounting for skill in trend, variability, and autocorrelation facilitates better multi-model projections: Application to the AMOC and temperature time series', Plos One, 14, pp. e0214535, http://dx.doi.org/10.1371/journal.pone.0214535
, 2019, 'Gender and cultural bias in student evaluations: Why representation matters', Plos One, 14, http://dx.doi.org/10.1371/journal.pone.0209749
, 2019, 'A review of Approximate Bayesian Computation methods via density estimation: inference for simulator-models', WIREs Computational Statistics, e1486, http://dx.doi.org/10.1002/wics.1486
, 2018, 'North Atlantic observations sharpen meridional overturning projections', Climate Dynamics, 50, pp. 4171 - 4188, http://dx.doi.org/10.1007/s00382-017-3867-7
, 2018, 'A Novel Approach for Markov Random Field With Intractable Normalizing Constant on Large Lattices', Journal of Computational and Graphical Statistics, 27, pp. 59 - 70, http://dx.doi.org/10.1080/10618600.2017.1317263
, 2017, 'A Bayesian posterior predictive framework for weighting ensemble regional climate models', Geoscientific Model Development, 10, pp. 2321 - 2332, http://dx.doi.org/10.5194/gmd-10-2321-2017
, 2017, 'Extending approximate Bayesian computation methods to high dimensions via a Gaussian copula model', Computational Statistics and Data Analysis, 106, pp. 77 - 89, http://dx.doi.org/10.1016/j.csda.2016.07.005
, 2017, 'A Bayesian posterior predictive framework for weighting ensemble regional climate models', , pp. 1 - 22, http://dx.doi.org/10.5194/gmd-2016-291